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Titlebook: Recent Trends in Materials and Devices; Proceedings ICRTMD 2 Vinod Kumar Jain,Sunita Rattan,Abhishek Verma Conference proceedings 2017 Spri

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發(fā)表于 2025-3-23 12:38:30 | 只看該作者
Akanksha Singh,Shailesh Narain Sharma are characterized by having different contexts for training and testing data. That is, learning algorithms which are trained on the specific properties of the training data have to make predictions on test data which comprises substantially different properties. To this end, the corpora that are us
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發(fā)表于 2025-3-23 15:59:45 | 只看該作者
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發(fā)表于 2025-3-23 20:57:03 | 只看該作者
Anjna Thakur,Priya Thakur,Kamlesh Yadavin September 2020.*.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. ..The 5 full papers and 2 short papers prese
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發(fā)表于 2025-3-23 23:17:28 | 只看該作者
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發(fā)表于 2025-3-24 05:01:09 | 只看該作者
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17#
發(fā)表于 2025-3-24 13:36:47 | 只看該作者
Sunny Khan,Javid Ali,Harsh,M. Husain,M. Zulfequarin September 2020.*.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. ..The 5 full papers and 2 short papers prese
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發(fā)表于 2025-3-24 17:02:25 | 只看該作者
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發(fā)表于 2025-3-24 21:27:26 | 只看該作者
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發(fā)表于 2025-3-25 02:53:00 | 只看該作者
Pallavi Kumari,Neeraj Khareer generated content (UGC) very challenging. Previous research has shown that using passage-level evidence for query expansion (QE) in IR can be beneficial for improving search effectiveness. Our investigation of passage-level QE for a large Internet collection of UGC demonstrates that while it is e
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